Reinventing Blood Banking Infrastructure

Ocularmed is an Enviro-Health medical technology company developing climate-aware, AI-driven robotic blood banking systems. Our platform reduces NHS blood wastage using FIFO/FEFO algorithms, stabilises supply chains through centralised inventory intelligence, improves temperature integrity with smart monitoring systems, and lowers lifecycle CO₂ emissions through non-DEHP blood bags. A single robotic platform stores all blood components, reducing the need for multiple refrigerators and lowering overall hospital energy consumption.

The Problem

Blood Wastage

In 2024 alone, the NHS lost £12.29 million worth of blood due to expiry, handling failures, and temperature instability.

Lack of Centralised Data

Blood inventory is managed in fragmented systems with no national real-time visibility across hospitals.

Inefficient Supply Chain Management

Without shared inventory intelligence, blood movement across the system is reactive rather than planned.

High Carbon (CO₂) Emissions

Blood banking contributes significant global emissions due to refrigeration and transportation.

Energy-Heavy Storage Infrastructure

Separate refrigerators for different blood components increase electricity use and environmental impact.

Our Climate-Aware Robotic Blood Bank Platform

Ocularmed integrates robotics, artificial intelligence, thermal imaging, and sustainable consumables into a single intelligent blood banking infrastructure designed to reduce wastage, stabilise supply chains, and lower lifecycle carbon impact.

AI Robotic Storage & Retrieval

High-precision robotic automation handles blood bag storage and retrieval with consistent accuracy.

Automated FEFO/FIFO Intelligence

AI continuously enforces correct issue order across stored units.

Thermal-Stable Multi-Compartment Architecture

A single robotic platform stores all blood components within independently controlled compartments.

Reduced Refrigeration Infrastructure

One intelligent robotic system replaces multiple traditional refrigerators.

Thermal Imaging Temperature Monitoring

Thermal imaging continuously maps temperature at blood bag level.

AI Temperature Integrity Analysis

AI models analyse thermal patterns and predict excursion risks.

End-to-End Digital Traceability

Every unit movement and thermal state is logged.

Centralised Inventory Intelligence

Real-time digital visibility replaces fragmented systems.

AI Reporting & Decision Dashboards

Automated reports provide insights into wastage and inventory movement.

Disease Demand & Prevention Insight

AI analysis of long-term blood usage patterns helps identify trends.

Predictive Expiry Modelling

Machine-learning models identify units at risk of expiry.

Non-DEHP Class IIb Blood Bags

DEHT/DINCH-compliant consumables reduce plasticiser exposure.

Adaptive Energy & Cooling Control

AI dynamically adjusts cooling performance based on system load.

Sustainability-Led Design

Lower energy consumption and intelligent automation reduce environmental impact.

Business Model

Hardware Systems

Robotic blood bank infrastructure may be deployed free or at minimal cost initially to accelerate adoption.

SaaS Analytics

AI software subscriptions provide monitoring, forecasting and decision dashboards.

Consumables

Long-term supply of non-DEHP blood bags creates recurring revenue.

Maintenance & Training

Paid maintenance, calibration and training services support deployed systems.